Detecting system and detecting method for movement trajectory

Abstract

The present invention provides a detecting system and a detecting method for movement trajectory. The detecting method includes: transmitting a radar signal to a detection area to receive a corresponding reflected signal; obtaining a point cloud according to the reflected signal; generating a movement trajectory according to the point cloud; and displaying information associated with the movement trajectory through a graphical user interface.

What is claimed is: 
     
         1 . A detecting system for movement trajectory, comprising:
 a display device, displaying a graphical user interface;   a radar, transmitting a radar signal to a detection area to receive a corresponding reflected signal; and   a processor, coupled to the radar and the display device and configured to:   obtain a point cloud according to the reflected signal;   generate a movement trajectory based on the point cloud; and   display information associated with the movement trajectory through the graphical user interface.   
     
     
         2 . The detecting system of  claim 1 , wherein the processor is further configured to:
 group the point cloud to obtain a plurality of groups;   generate a plurality of bounding boxes respectively corresponding to the plurality of groups, and obtain a plurality of centers respectively corresponding to the plurality of bounding boxes; and   generate the movement trajectory according to the plurality of centers.   
     
     
         3 . The detecting system of  claim 2 , wherein the plurality of groups comprises a first group and a second group, and the processor is further configured to:
 obtain a plurality of sampling points during a first time period from the point cloud to obtain the first group; and   obtain a plurality of sampling points during a second time period from the point cloud to obtain the second group, wherein the second time period is different from the first time period.   
     
     
         4 . The detecting system of  claim 3 , wherein the first time period and the second time period partially overlap. 
     
     
         5 . The detecting system of  claim 3 , wherein the information comprises a first bounding box corresponding to the first group, and the processor is further configured to:
 determine a color of the first bounding box according to a distance between the first bounding box and a reference location.   
     
     
         6 . The detecting system of  claim 3 , wherein the information comprises a first bounding box corresponding to the first group, and the processor is further configured to:
 determine a color of the first bounding box according to a sampling time of a sampling point in the first bounding box.   
     
     
         7 . The detecting system of  claim 1 , wherein the information comprises at least one of the following: a displacement, an instantaneous velocity, an average velocity, an instantaneous acceleration, an average acceleration, a movement offset, and a dwell time. 
     
     
         8 . The detecting system of  claim 1 , wherein the processor is further configured to:
 obtain environmental information of the detection area; and   filter a sampling point in the point cloud according to the environmental information to update the point cloud.   
     
     
         9 . The detecting system of  claim 1 , wherein the processor is further configured to:
 obtain a first longitudinal displacement signal according to the point cloud;   perform a detrending operation, a normalization, and a smoothing on the first longitudinal displacement signal to generate a second longitudinal displacement signal;   perform a peak detection on the second longitudinal displacement signal to obtain a plurality of peaks of the second longitudinal displacement signal; and   determine a number of times of standing-sitting actions according to the plurality of peaks, wherein the information comprises the number of times of the standing-sitting actions.   
     
     
         10 . The detecting system of  claim 1 , wherein the processor is further configured to:
 obtain a first longitudinal velocity signal according to the point cloud;   perform a detrending operation, a normalization, and a smoothing on the first longitudinal velocity signal to generate a second longitudinal velocity signal;   perform a peak detection on the second longitudinal velocity signal to obtain a plurality of peaks of the second longitudinal velocity signal; and   determine a number of times of standing-sitting actions according to the plurality of peaks, wherein the information comprises the number of times of the standing-sitting actions.   
     
     
         11 . A detecting method for movement trajectory, comprising:
 transmitting a radar signal to a detection area to receive a corresponding reflected signal;   obtaining a point cloud according to the reflected signal;   generating a movement trajectory according to the point cloud; and   displaying information associated with the movement trajectory through a graphical user interface.   
     
     
         12 . The detecting method of  claim 11 , wherein the step of generating the movement trajectory according to the point cloud comprises:
 grouping the point cloud to obtain a plurality of groups;   generating a plurality of bounding boxes respectively corresponding to the plurality of groups, and obtaining a plurality of centers respectively corresponding to the plurality of bounding boxes; and   generating the movement trajectory according to the plurality of centers.   
     
     
         13 . The detecting method of  claim 12 , wherein the plurality of groups comprises a first group and a second group, and the step of grouping the point cloud to obtain the plurality of groups comprises:
 obtaining a plurality of sampling points during a first time period from the point cloud to obtain the first group; and   obtaining a plurality of sampling points during a second time period from the point cloud to obtain the second group, wherein the second time period is different from the first time period.   
     
     
         14 . The detecting method of  claim 13 , wherein the first time period and the second time period partially overlap. 
     
     
         15 . The detecting method of  claim 13 , wherein the information comprises a first bounding box corresponding to the first group, and the step of displaying the information associated with the movement trajectory through the graphical user interface comprises:
 determining a color of the first bounding box according to a distance between the first bounding box and a reference location.   
     
     
         16 . The detecting method of  claim 13 , wherein the information comprises a first bounding box corresponding to the first group, and the step of displaying the information associated with the movement trajectory through the graphical user interface comprises:
 determining a color of the first bounding box according to a sampling time of a sampling point in the first bounding box.   
     
     
         17 . The detecting method of  claim 11 , wherein the information comprises at least one of the following: a displacement, an instantaneous velocity, an average velocity, an instantaneous acceleration, an average acceleration, a movement offset, and a dwell time. 
     
     
         18 . The detecting method of  claim 11 , further comprising:
 obtaining environmental information of the detection area; and   filtering a sampling point in the point cloud according to the environmental information to update the point cloud.   
     
     
         19 . The detecting method of  claim 11 , further comprising:
 obtaining a first longitudinal displacement signal according to the point cloud;   performing a detrending operation, a normalization, and a smoothing on the first longitudinal displacement signal to generate a second longitudinal displacement signal;   performing a peak detection on the second longitudinal displacement signal to obtain a plurality of peaks of the second longitudinal displacement signal; and   determining a number of times of standing-sitting actions according to the plurality of peaks, wherein the information comprises the number of times of the standing-sitting actions.   
     
     
         20 . The detecting method of  claim 11 , further comprising:
 obtaining a first longitudinal velocity signal according to the point cloud;   performing a detrending operation, a normalization, and a smoothing on the first longitudinal velocity signal to generate a second longitudinal velocity signal;   performing a peak detection on the second longitudinal velocity signal to obtain a plurality of peaks of the second longitudinal velocity signal; and   determining a number of times of standing-sitting actions according to the plurality of peaks, wherein the information comprises the number of times of the standing-sitting actions.